A PyTorch implementation of 'A Neural Algorithm of Artistic Style' by L. Gatys, A. Ecker, and M. Bethge.
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Updated
Apr 17, 2018 - Python
A PyTorch implementation of 'A Neural Algorithm of Artistic Style' by L. Gatys, A. Ecker, and M. Bethge.
Exploring Neural Style Transfer with keras.
Students Project at the Technion for generating natural looking images from a single image, using deep features of VGG19 and a hierarchical architecture based on SinGAN
Image Style Transfer Using Convolutional Neural Networks
Creating new artistic style pictures by blending own pictures with the style of other paintings using ConvNets
Developed Computer Vision Related Projects in Python3
A style-GAN that transfers the style of an image from one image to another image by optimising the generated image.
Unofficial Pytorch Implementation of 'Image Style Transfer Using Convolutional Neural Networks'
PixForgeOn: (NST)Style-Blend Magic! 🎨 using tensorflow
Basic implementation of NST in Tensorflow
Neural Style Transfer.
Keras Implementation of Neural Style Transfer algorithm
A simple project to illustrate Neural Style Transfer
NEUROPIC is the filtered image by using NEURAL STYLE TRANSFER optimization technique
Implementation of Neural Style Transfer technique using Tensorflow.
Neural Style Transfer Web Application
A Tensorflow implementation of the paper 'A Neural Algorithm of Artistic Style' by Gatys, et al. Uses a pre-trained VGG-19 model.
This is a Neural Style Transfer Model Implemented Using Tensorflow
Implementation of paper Neural Unsupervised Style Transfer based on Multiple-Attribute Text Rewriting (ICLR 2019). Additionally, added a classification loss that gives the model more ability to control style.
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